What strategy can be employed to optimize the performance of ArcGIS Enterprise?

Implementing periodic data archiving is an effective strategy for optimizing the performance of ArcGIS Enterprise. This process involves systematically moving inactive or outdated data to separate storage systems, which helps in managing the volume of data actively used within the system. By reducing the amount of data that needs to be indexed, queried, and served during operations, this approach can enhance response times and overall application performance.

Additionally, archiving data can improve backup and restoration processes, decrease the load on databases, and streamline data management practices. It helps keep the system agile, allowing users to focus on current and critical datasets while legacy information is securely stored yet accessible if needed.

The other choices may not provide the same level of performance optimization. Increasing the user base can lead to more demand on system resources and potential degradation of performance if not managed correctly. Utilizing redundant data copies might unnecessarily inflate storage needs and complicate data management without directly addressing performance. Installing additional visualization tools could add features but may not have a direct impact on the core performance of the ArcGIS Enterprise system itself.